振动给料机恒定给矿控制系统设计及应用

针对于一些选矿厂矿石粒级分布不均匀,含水量波动较大,多振动给料机给矿反馈大时滞以及时滞不稳定的问题,设计开发基于大间隔采样积分控制及模糊PID恒定给矿控制系统,实现磨机给矿量的恒定控制。系统运行可靠,抗干扰能力强,提高了设备的自动化水平和磨机的生产效率。     

应急救援车辆主动悬挂系统能耗与发动机的功率匹配控制

针对主动悬挂系统能耗与发动机运行参数不匹配而导致的液压主动悬挂系统压力和流量频繁波动、发动机载荷过高导致熄火等问题,提出了主动悬挂系统能耗与发动机功率匹配的控制方案。分析了保证主动悬挂系统与发动机匹配运行的条件,为使主动悬挂系统运行的最大功率小于发动机当前状态下的剩余功率,提出了根据驱动主动悬挂系统的平均流量对变量泵排量控制信号进行动态补偿的控制策略,应用模糊PID控制方法设计了功率匹配控制器。试验结果表明：相较于原主动悬挂系统,应用所提出控制方案的主动悬挂系统所消耗的平均功率降低了42%,发动机扭矩百分比平均值下降了39.6%,主动悬挂系统能耗和发动机载荷明显减小。     

Recurrent Neural Network based Soft Sensor for flow estimation in Liquid Rocket Engine Injector calibration

Injector is the critical element in the Liquid Rocket Engine (LRE), to ensure proper mixing of propellants (fuel and oxidizer) in the thrust chamber for achieving the optimum thrust. LRE injector is calibrated in order to deliver required flow rates of propellants by sizing the orifices through simple injector water calibration (IWC) techniques. In LRE-IWC process, a huge 6” turbine flow meter (TFM) is employed for the flow-rate measurement. In order to achieve and maintain the required accuracy and precision in the LRE-IWC process, periodical calibration of TFM is mandatory. It involves tremendous time, cost and human effort. Soft sensors can provide an economical and effective alternative solution for TFM flow-rate measurement. The objective of the proposed work is to develop and implement a recurrent neural network based soft sensor (RNN-SS) for TFM flow-rate measurement. In the LRE-IWC process, experimental flow trials were carried out for different flow patterns, and the necessary measurement data were generated for the soft sensor design. The designed RNN-SS was trained by tuning various hyper parameters to replace the TFM, using three related measurement parameters acquired during the experimental trials. The precise TFM flow-rate estimation was achieved by the designed RNN-SS, with a worst-case mean absolute percentage error (MAPE) of 1.91% for the experimental flow patterns considered, with good repeat-ability. The proposed RNN-SS model for TFM flow-rate estimation gives a MAPE of 0.58%, for the required flow-pattern which is well suited for practical use.     

基于视觉和PID算法的重载AGV控制系统设计

为了改善现有AGV的不足并能搬运大型货物,设计出一种以PLC为主控的重载AGV。系统采用减速电机增大力矩,提升负载能力,双向循迹的结构解决了难以调转车头的问题。利用视觉传感器对色带进行图像处理,将传感器与色带中心线的偏差值反馈给PLC,运用PID算法调整直流电机的转速以实时纠偏;该传感器也能读取站点的数据矩阵码带信息,实现AGV的导航与定位。测试结果表明:该AGV可沿色带路径循迹运行,识别到目标站点的码带后读码停车,偏差始终保持在±13 mm的范围内,证明了算法的有效性。     

基于广域网的遥操作工程机器人神经网络控制

针对在广域网环境下因较大网络时延造成遥操作工程机器人系统操作性能下降甚至系统不稳定的问题,提出一种神经网络控制方法。借助于广域网模拟器,在局域网环境下进行了不同网络时延下的位置阶跃响应和稳态跟踪实验研究。结果表明:与常规PID控制方法相比,该方法具有更好的动态和稳态特性,对网络时延具有较好的适应性和鲁棒性。研究结果对提高广域网环境下的遥操作工程机器人系统的操作性能具有指导意义。     

变转速泵控马达系统位置控制试验研究

对变转速泵控马达调速系统存在的位置跟踪效果不理想问题进行了研究,并针对马达角位移控制提出了闭环PID控制方法。基于虚拟仪器技术完成了位置控制测控系统的开发,将开发出的测控系统应用到变转速泵控马达调速系统上,完成了马达角位移的开环控制、闭环PID控制试验。试验结果表明,采用闭环PID控制时的马达角位移跟踪效果明显好于开环时的跟踪效果。     

工件质量对机床工作台直线电机伺服系统响应性能的影响研究

数控机床工作台在运行时其承载的工件质量往往不同且变化范围大,工件质量的变化会对其直线电机伺服系统的性能造成较大影响。分析数控机床工作台直线电机伺服系统在带动不同质量工件的情况下所产生的超调量和调整时间,发现系统超调量随工件质量的增加成单调增的关系;在工件质量一定的情况下采用非线性PID控制来抑制超调量,缩短调整时间,找到非线性PID控制的参数Kd与工件质量之间的对应关系,并进行线性拟合,对非线性PID控制的参数进行调整,使在不同工件质量的情况下均能达到较好的响应性能。     

IDENTIFICATION AND NON LINEAR POLE PLACEMENT SELF TUNING PID CONTROL OF A JACKETED WELL MIXED REACTOR

This paper describes the application of Non Linear Self Tuning PID (NLSTPID) system with the intention of controlling the temperature of a cooling jacketed polymer reactor containing toluene and styrene mixture. The use of polynomial Nonlinear AutoRegressive Moving Average with eXternal input (NARMAX) model related with tank temperature and heat input for nonlinear control was emphasised. The first part of the paper presents an identification algorithm for the construction of polynomial NARMAX and AutoRegressive Moving Average with external input (ARMAX) models. A Pseudo Random Binary Sequence (P.R.B.S) signal was utilised as a forcing function in order to determine the parameters of the models. Levenberg Marquardt algorithm was used to estimate the relevant parameters of NARMAX model. Similar work was carried out for ARMAX model using Bierman, Kalman and Least Square Estimation algorithms. The time response of the tank temperature obtained from computer simulation, identified models and experimental data to a unit step change in manipulated variable were compared. Next, linear and non linear models were used with STPID algorithm to demonstrate the performance of the available control in response to disturbances. All theoretical works were compared with experimental data.     

基于RBF神经网络电液恒功率调速自整定PID控制

采煤机电液调速系统对保证煤矿生产具有重要的作用。在分析恒功率自动调速的电液控制系统原理的基础上,建立了基于RBF神经网络自整定的PID控制的数学模型。通过在MATLAB/GUI仿真平台上计算得到系统的实际输出和模型输出的误差不超过5%,设计的RBF神经网络的电液恒功率调速自整定PID控制系统具有更高的跟踪精度和响应特性,完全可以实现系统的高精度与快速调速控制。     

基于压电陶瓷驱动的小力值测量装置设计

设计了一种新的小力值测量装置，该装置使用了压电陶瓷促动器、力传感器、电子天平和计算机控制。用PID控制法进行闭环控制试验研究，达到了较高的控制精度。